Certified Oilfield Data Intelligence & Predictive Analytics Engineer (CODIPAE)® - International Board of Oil & Gas Professionals

• Predict production declines before they happen • Detect anomalies and equipment failure in real-time • Automate reservoir performance monitoring • Improve drilling and completion strategies using historical and live data • Accelerate decision-making through data-driven models and simulation engines

• Develop ML models for well performance forecasting and anomaly detection • Use AI to automate decision-making in production, drilling, and completion • Analyze real-time SCADA, IoT, and sensor data from field operations • Construct predictive dashboards for downtime risk and production loss • Design end-to-end data pipelines using modern data platforms and cloud services • Evaluate predictive accuracy and retrain models for continuous optimization

• Understand the digital data lifecycle in oilfield environments • Build anomaly detection models for identifying equipment and process failures • Apply reservoir and production data analytics using Python/R/AI platforms • Leverage machine learning algorithms for production trend forecasting • Connect field data to decision engines for real-time optimization • Visualize and interpret high-volume datasets through predictive dashboards

• Globally recognized credential for predictive data science in oil & gas • Elevates your role in AI-based production, drilling, and forecasting decisions • Demonstrates cutting-edge skills in anomaly detection and ML-driven analytics • Positions you for leadership roles in digital transformation and asset intelligence • Access to the IBOGP® Analytics & Predictive Insights Working Group • Boosts your career in emerging roles such as “Digital Oilfield Strategist” or “AI Operations Lead”

• Self-paced modules with instructor walkthroughs • Case simulations using synthetic and real-world datasets • Python-based model labs for anomaly detection and forecasting • Production dashboard design tutorials • Downloadable ML notebooks and data templates • Access to AI model sandbox for experimentation

• Format: 100 questions (scenario-based MCQs + modeling simulation) • Delivery: Online, proctored testing environment • Duration: 90 minutes • Passing Score: 70% • Certification Validity: 3 years (renewable)

• “Predict. Prevent. Perform.” • “Transform Your Data into Decisions” • “The Future of Oilfield Intelligence Starts Here” • “From Data to Predictive Power” • “Intelligence That Powers Production” • “Real-Time Insight for Real-World Operations” • “Be the Brain Behind Smart Oilfield Systems” • “Model. Forecast. Optimize. Lead.” • “Certify Your Edge in Oilfield Analytics” • “Join the Global League of Predictive Oil & Gas Engineers”